.Similar to many researchfields,data mining has two general direc-tions:theoretical foundations and advanced technologies and applications.Here we fo-cus on advanced technologies and applications in data mining and discuss some recent progress in this direction.Notice that some popular research topics...
A literature review on educational data mining follows, which covers topics such as student retention and attrition, personal recommender systems with in education and how data mining can be used to analyze course management system data. Gaps in the current literature and opportunities for further ...
Mining association rule is one of the most important topics of data mining.There are some shortcomings in mining association rules via Apriori algorithm or its improved algorithms.The first is many candidate items are generated;the second is more disk I/O needed.It's been found the efficiency ...
On exploiting the power of time in data mining We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental mining and stream mining, both focussing on the adaptation ... M B...
Mining is to dig out mineral. The meaning shifting, Data-mining means the technique or method to discover the mutual relation and the pattern between the terms, to find out the tendency to something from massive data that is stored in enterprise, such as the selling-data of retail stores an...
\ \forall j\in \left\{ 1,2,..,N \right\}}(4)\sum_{j=1}^N{s_{ij}=1,\ \forall ...
We hope it will benefit those researching and interested in spatio-temporal data mining and related areas. If you have any questions about this repository, please get in touch with me by email (gxiepeng@gmail.com).About A collection of research on spatio-temporal data mining Topics deep-...
Data Science 2: Advanced Topics in Data Science Building upon the material in Data Science 1, ...
In this article, we conduct a systematic survey on the major research into trajectory data mining, providing a panorama of the field as well as the scope of its research topics. Following a roadmap from the derivation of trajectory data, to trajectory data preprocessing, to trajectory data ...
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